Nvidia Senior Software Engineer - Design-For-Test 

United States, California 

1319551

What you'll be doing:

• Develop software in modern C++ and various scripting languages to enable design and development of software enabling efficient test pattern generation, application of these patterns on Silicon, failure analysis, and yield learning

• Create efficient parallel graph traversal and graph analysis techniques

• Work with multi-functional teams to assess and tackle problems that involve multiple areas of expertise through the company

• Apply LLMs, graph-based ML approaches, and reinforcement learning to define innovative solutions

What we need to see:

• Excellent communication skills

• BS (MS or higher degree preferred) in EE or CS (or equivalent experience)

• 5+ years of experience in Software development

• Experience with GenAI application development using LLM frameworks and multi agent applications

• Expertise in evaluation systems (such as RAGAs), and observability platforms (such as Arize Phoenix)

• Understanding of different agent architectures, RAG systems, and communication protocols

• Deep familiarity with reinforcement learning algorithms like PPO, SAC, or Q-learning, including experience tuning hyperparameters and reward functions

• Hands on experience with large scale training (e.g., ZeRO) and data processing (e.g. Spark)

Ways to stand out from the crowd:

• Proven deployment of large-scale agentic application with high concurrency and agility

• Experience with software and hardware especially involving DFT, failure analysis, and CAD tools

• Working experience of agentic models / frameworks, observability and evaluation tools

• In-depth understanding of the modern LLMs, and proprietary APIs

• Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases